Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E7522AB5762411A59E0383DFBA2123BEF21791AEFA5246D8D364C32832D5DFD8834EC1 |
|
CONTENT
ssdeep
|
192:QoBoBS5lQ/+UVcBRyUku9cuGRmKbMpBXp7sfgg8gk:QiocqtG6smMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93976c6c91c7d292 |
|
VISUAL
aHash
|
7e002e6e0e04c080 |
|
VISUAL
dHash
|
e634d8d858488619 |
|
VISUAL
wHash
|
7e003e6e0ee4e2d3 |
|
VISUAL
colorHash
|
304010000c0 |
|
VISUAL
cropResistant
|
fca4a4b2b6d2c6c7,0000000000020400,60c4c48082828180,e634d8d858488619 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 484 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.